Driving task deciding system and method for driverless car

Abstract

The invention discloses a driving task deciding system for a driverless car. The system comprises an environment sensing module, a macro-planning and navigating module, a driving task deciding moduleand a driving task executing and obstacle avoiding module, wherein the environment sensing module is used for detecting ambient environment of the car; the macro-planning and navigating module is usedfor planning a route according to an input driving task, generating a passable macro-route from starting point to destination, determining actions needed to be taken by the car to follow the macro-route according to the current position of the car and outputting navigation information; the driving task deciding module is used for deciding driving tasks to be executed by the car according to the current driving task of the car, driving environment and the navigation information of the car; the driving task executing and obstacle avoiding module is used for executing the optimal driving task according to the motion state of the car. The driving task deciding system has the advantages that defects in the prior art can be overcome, safe and efficient driving of the car on a road can be guaranteed, corresponding driving tasks are completed, and the car can abide by traffic laws and regulations actively.

Description

technical field [0001] The invention relates to the technical field of automatic control of automobiles, in particular to an unmanned vehicle driving task decision-making system and a decision-making method thereof. Background technique [0002] Unmanned vehicles are an important direction of automobile development. Unmanned vehicles can not only ensure the safety of people's travel, but also greatly improve everyone's travel efficiency and reduce congestion. Since 2009, China has held an annual "China Smart Vehicle Future Challenge", and these events have greatly promoted the development of driverless vehicles. [0003] Even so, there is still a long way to go before self-driving cars really come into real life and are widely accepted by people. Among them, the decision-making and control of unmanned vehicles directly affect the safety and rationality of the behavior of unmanned vehicles. [0004] Regarding the decision-making and control of unmanned vehicles, the Chinese...

AI Technical Summary

Problems solved by technology

[0006] The Chinese invention patent application number 201410221906.6 describes a driverless car control system with social behavior interaction. The system takes the driving intentions of other vehicles into the decision-making and control algorithms, and uses the invisible Markov model to judge other vehicles. driving intention, but the system’s description of the decision-making process of unmanned vehicles is too simple and lacks a systematic description

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